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<p>This page contains links to linguistic corpora organized by
language and type of annotation.</p>


<h2>Named Entity Chunked</h2>

<h3>Arabic, Chinese, English: ACE 2004 Multilingual</h3>
<p>Arabic, Chinese and English news data annotated for entities and relations.
(Corpus includes English, Chinese and Arabic.)</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T09">ACE 2004</a></small></p>

<h3>Arabic, Chinese, English: ACE 2005 Multilingual</h3>
<p>Arabic, Chinese and English data from news, broadcast news,
and broadcast conversation, annotated for entities, relations
and within-document coreference.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2006T06">ACE 2005</a></small></p>


<h3>Chinese: SIGHan 3</h3>
<p>The SIGHan group of ACL released three different Chinese corpora annotated
for named entity: City University of Hong Kong (Big 5), Microsoft Research (CP936/unicode) and LDC (CP936/unicode).  Also included word segmentation data as part of the distribution.</p>
<p><small>SIGHan: <a href="http://www.sighan.org/bakeoff2006/">SIGHan 3</a></small></p>


<h3>Chinese: Short Message Data Collation II</h3>

<p>
2.6M characters from 202K short &quot;daily life&quot; messages,
with named entities.  Related ELRA data sets also annotate Pinyin.
There was also a 5.9M character collection 
<a href="http://catalog.elra.info/product_info.php?products_id=972">Data Collation I</a>.
</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=968">Chinese Short Message Data Collation</a></small></p>


<h3>Dutch: CoNLL 2002</h3>
<p>Dutch newswire annotated for standard named entities, person,
location and organization, as well as part-of-speech.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2002/ner/">CoNLL 2002 Dutch Corpus</a></small></p>


<h3>English: TERN 2004</h3>
<p>English newswire and broadcast news annotated for times.
</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T07">TERN 2004</a></small></p>


<h3>English: TimeBank 1.2</h3>
<p>183 news articles annotated for temporal expressions and reference
using TimeML.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2006T08">TimeBank 1.2</a></small></p>



<h3>English: CoNLL 2003</h3>
<p>English newswire annotated for standard named entities.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2003/ner/">CoNLL 2003 English</a></small></p>


<h3>English: Message Understanding Conference (MUC) 6</h3>
<p>318 <i>Wall Street Journal</i> articles annotated for person,
location and organization entities.
There is also an <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC96T10">additional MUC 6 data</a>.
</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2003T13">MUC 6</a></small></p>


<h3>English: Message Understanding Conference (MUC) 7</h3>

<p>Newswire data tagged with named entity types (<code>PERSON,
LOCATION, ORGANIZATION)</code>, as well as times (<code>DATE,
TIME</code>), and numbers (<code>MONEY</code>, <code>PERCENT</code>).
There is an online
<a href="http://www-nlpir.nist.gov/related_projects/muc/proceedings/ne_task.html">tagging guide</a>.
</p>

<p><small>LDC <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2001T02">MUC 7 Corpus</a></small></p>



<h3>English: CoNLL 2003</h3>
<p>English newswire annotated for standard named entities and part of speech.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2003/ner/">CoNLL 2003 English</a></small></p>


<h3>French: ESTER</h3>
<p>60 hours of orthographically transcribed news broadcast, including annotations of named entities
(person, place, data, organisation, geo-political entity, amount, building and unknown).</p>
<p><small>ELRA: <a href="">ESTER Corpus</a></small></p>

<h3>French: ARCADE II</h3>
<p>316K words of French with named entities. 
Also includes alignment with Arabic named
entities.</p> 
<p><small>ELRA: Evaluation only license.</small></p>

<h3>German: CoNLL 2003</h3>
<p>German newswire annotated for standard named entities, part of speech,
and lemmas.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2003/ner/">CoNLL 2003 German</a></small></p>

<h3>Hungarian: Szeged Named Entity</h3>
<p>200K tokens of data from <i>MTI</i> annotated for person, location,
organization and miscellaneous entities in CoNLL format.  With
semi-automatic part-of-speech tags.
</p>
<p><small>Szeged HLT: <a href="http://www.inf.u-szeged.hu/projectdirs/hlt/index_en.html">Szeged NE</a></small></p>


<h3>Italian: I-CAB</h3>
<p>180K tokens from <i>L'Adige</i>, a local newspaper, annotated for
ACE-style entities (person, location, organization, geo-political
entity), and time.  Also annotated for part of speech.  In CoNLL format.</p>
<p><small><a href="http://tcc.itc.it/projects/ontotext/index.html">OntoText</a>: <a href="http://tcc.itc.it/projects/ontotext/icab.html">Italian Content Annotation Bank</a></small></p>
<!-- http://evalita.itc.it/tasks/data-distribution/ner-data.html -->


<h3>Spanish: CoNLL 2002</h3>
<p>Spanish newswire annotated for standard named entities, person,
location and organization, as well as part-of-speech.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2002/ner/">CoNLL 2002 Dutch Corpus</a></small></p>







<h2>Part-of-Speech Tagged</h2>

<p>Also see the section on parsed data, as almost all parsed
data also includes part-of-speech tags.</p>


<h3>Arabic: NEMLAR Written Corpus</h3>
<p>500K words of Arabic from a range of sources from the late 1990s to
2005.  It contains fully vowel-inserted text, lexical/morphological
analysis and part-of-speech tags.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=873">NEMLAR Written Corpus</a></small></p>


<h3>English: British National Corpus</h3>
<p>100M words of text with automatically generated POS tags with
headings, paragraphs, sentences, etc.  A broad range of sources
including spoken language.
</p>
<p><small>U. Oxford: <a href="http://www.natcorp.ox.ac.uk/">British National Corpus</a></small></p>

<h3>Chinese: Tagged Gigaword</h3>
<p>A version of the Chinese gigaword corpus which was tagged
for part-of-speech by Academia Sinica.  It contains 1.3M words drawn
from newspaper sources.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2007T03">Tagged Chinese Gigaword</a></small></p>

<h3>Dutch: PAROLE Corpus</h3>
<p>250K words from news papers, transcribed TV news, books, and
periodicals, automatically POS tagged with 60K checked by hand twice,
200K checked by hand once.</p>
<p><small>ELRA:
<a href="http://catalog.elra.info/product_info.php?products_id=543">Dutch PAROLE Corpus</a>
</small></p>

<h3>Dutch: CoNLL 2002</h3>
<p>Dutch newswire annotated for standard named entities, person,
location and organization, as well as part-of-speech.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2002/ner/">CoNLL 2002 Dutch Corpus</a></small></p>




<h3>English: CoNLL 2000</h3>
<p>Sections 15-18, and 20 of the Penn English Treebank (about 250K tokens),
annotated for part-of-speech and noun-phrase chunking.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2000/chunking/">CoNLL 2000 Corpus</a>; UPenn: <a href="ftp://ftp.cis.upenn.edu/pub/chunker/">Treebank Chunking Data</a></small></p>

<h3>English: American National Corpus, Second Release</h3>
<p>20M words of English from various sources.  Annotated for
morphology and part-of-speech (presumably automatically).
</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T35">American National Corpus</a></small></p>


<h3>English: Brown Corpus</h3>
<p>1M words from a large range of sources annotated for part of speech
using a fine-grained tagging of 100+ tags.</p>
<p><small>NLTK: <a href="">NLTK Brown Corpus</a></small></p>


<h3>English: MULTEXT JOC Corpus</h3>
<p>200K words from teh <i>Written Questions and Answers of the
Official Journal of the European Community</i>.  Aligned at
sentence level with French, Italian, and Spanish.
</p>
<p><small>ELRA:
<a href="http://catalog.elra.info/product_info.php?products_id=534">MULTEX JOC Corpus</a>
</small></p>


<h3>English: Wolverhampton Business English</h3>
<p>10M words from 23 web sites relating to business.  Converted to SGML
and annotated for paragraph, sentence, and part-of-speech.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=627">Wolverhamptom Business English Corpus</a></small></p>


<h3>English: CRATER 2 Corpus</h3>
<p>International Telecommunications Union corpus of 1.5M tokens.
These are aligned with French and Spanish CRATER data.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=636">CRATER 2 Corpus</a></small></p>


<h3>French: CRATER 2 Corpus</h3>
<p>International Telecommunications Union corpus of 1.5M tokens of French.
Aligned with Spanish and English CRATER corpora.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=636">CRATER 2 Corpus</a></small></p>


<h3>French: PAROLE Corpus</h3>
<p>250K tokens from newspaper <i>Le Monde</i> (1987), automatically tagged.  
Also includes some classification features over 14M tokens of <i>Le Monde</i>,
as well as some book and periodocal data.(?).</p>
<p><small>ELRA: <a
href="http://catalog.elra.info/product_info.php?products_id=565">French PAROLE
Corpus</a></small></p>


<h3>French: MULTEXT JOC Corpus</h3>
<p>200K words from teh <i>Written Questions and Answers of the
Official Journal of the European Community</i>.  Aligned at
sentence level with English, Italian, and Spanish.
</p>
<p><small>ELRA:
<a href="http://catalog.elra.info/product_info.php?products_id=534">MULTEX JOC Corpus</a>
</small></p>


<h3>French: Scientific Corpus</h3>
<p>450K tokens drawn from <i>La Recherche</i> magazine, and annotated
for part-of-speech and stem.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=595">French Scientific Corpus</a></small></p>

<h3>German: MTP AnnotatedCorpus</h3>
<p>500K words from newspapers <i>Die Frankfurter Allgemeine Zeitung</i> and <i>Die Zeit</i> (1990, 1992) over all topics. 
Sentence annotated and tag annotated with a coarse (52 tags) and
fine (137 tags) tag set.</p>
<p><small>ELRA: 
<a href="http://catalog.elra.info/product_info.php?products_id=480">MTP Annotated German Corpus</a></small></p>


<h3>Greek: ILSP/ELEFTHEROTYPIA Corpus</h3>
<p>3M words of Greek with documentws classified by PAROLE standard (medium,
topic and genre), from the newspaper
<i>Eleftherotypia</i>.  250K words annotated for part of speech
and morphology.  Alle checked by hand.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=763">ILSP/ELEFTHEROTYPIA Corpus</a>
</small></p>


<h3>Italian: PAROLE Corpus</h3>

<p>3M words from various newspapers, periodicals, books and documents
from 1970 to 1996.  The data is morphosyntactically annotated and
lemmatized.</p>

<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=886">Italian PAROLE Corpus</a></small></p>



<h3>Italian: MULTEXT JOC Corpus</h3>
<p>200K words from teh <i>Written Questions and Answers of the
Official Journal of the European Community</i>.  Aligned at
sentence level with English, French, and Spanish.
</p>
<p><small>ELRA:
<a href="http://catalog.elra.info/product_info.php?products_id=534">MULTEX JOC Corpus</a>
</small></p>


<h3>Korean: Qualified POS</h3>
<p>1M tokens (eojeols) morphologically analyzed and POS tagged.
Triple-checked by hand.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=654">Korean Qualified POS</a></small></p>


<h3>Korean: Morphologically Annotated</h3>
<p>41K words of Korean with part of speech and morphological tags.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2004T03">Morphologically Annotated Korean Text</a></small></p>






<h3>Portuguese: PAROLE Corpus</h3>
<p>250K words of Portuguese from newspapers, books, periodicals and
other sources, annotated for morpho-syntactic relations.  Manually checked.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=766">PAROLE Portuguese Corpus</a></small></p>


<h3>Spanish: CoNLL 2002</h3>
<p>Spanish newswire annotated for standard named entities, person,
location and organization, as well as part-of-speech.
</p>
<p><small>CoNLL: <a href="http://www.cnts.ua.ac.be/conll2002/ner/">CoNLL 2002 Spanish Corpus</a></small></p>

<h3>Spanish: MULTEXT JOC Corpus</h3>
<p>200K words from teh <i>Written Questions and Answers of the
Official Journal of the European Community</i>.  Aligned at
sentence level with English, French, and Italian.
</p>
<p><small>ELRA:
<a href="http://catalog.elra.info/product_info.php?products_id=534">MULTEX JOC Corpus</a>
</small></p>


<h3>Spanish: CRATER 2 Corpus</h3>
<p>International Telecommunications Union corpus of 1.0M tokens of
Spanish.  Includes stems and morphological features.
These are aligned with French and English CRATER data.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=636">CRATER 2 Corpus</a></small></p>


<h3>Swedish: Stockholm Umeå Corpus</h3>
<p>1M words of Swedish with balanced genres.  Free for research.
Don't know about commercial licenses.</p>
<p><small>Dept of Linguistics, Stockholm University</small>:
<a href="http://www.ling.su.se/staff/sofia/suc/suc.html">Stockholm Umeå Corpus</a>
</p>

<h3>Urdu: EMILLE Lancaster Corpus</h3>

<p>200K words of Urdu annotated for part-of-speech.  Also includes
other languages, and parallel texts.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=714">EMILLE Lancaster Corpus</a></small></p>





<h2>Parsed</h2>

<h3>Arabic: Treebank Part 1 v 3.0</h3>
<p>125K tokens of Arabic from AFT news in 2000.  There is a treebank and
morphosyntactic (part of speech) tags, including full vocalization and
case endings.</p>
<p>There are also parts 2 and 3 available separately with similar markup.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T02">Arabic Treebank Part 1 v 3.0</a></small></p>


<h3>Chinese: Treebank 5.0</h3>
<p>507K words annotated for sentence and part-of-speech tags (GB encoding).
</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T01">Chinese Treebank 5.0</a></small></p>

<h3>Czech: Prague Dependency Treebank 2.0</h3>
<p>
2M words of morphologically/POS annotated text, 1.5M words of
syntactic annotation, and 0.8M words of semantic annotations.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2006T01">Prague Dependency Treebank</a></small></p>


<h3>English: Treebank-3</h3>
<p>Includes part-of-speech tagged and parsed data for 1M tokens of newspaper
text from 1989 <i>Wall Street Journal</i> and 1M tokens of Brown Corpus.  Also
includes tagged, parsed and disfluency-annotated Switchboard corpus of
spoken dialog.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC99T42">Treebank-3</a></small></p>


<h3>English: ICE-GB</h3>
<p>1M words making up the British (GB) component of the
International Corpus of English (ICE).
1M words of spoken and written English. 84K parse trees, 60K of which
are for spoken language.  Fully hand checked.</p>
<p><small>ELRA: 
<a href="http://catalog.elra.info/product_info.php?products_id=762">ICE-GB</a>
</small></p>

<h3>English: BLLIP WSJ</h3>
<p>Automatic annotation of 30M words of <i>Wall Street Journal</i> based
on Treebank models (Charniak et al.).</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2000T43">BLLIP WSJ</a></small></p>

<h3>English: CCGBank</h3>
<p>Semi-automatic conversion of the English treebank into combinatory
categorial grammar notation.</p>
<p><small>LDC: <a href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T13">CCGBank</a></small></p>

<h3>French: French Treebank</h3>
<p>A French treebank of one million words tagged with
morphosyntax and lemmas, compounds, phrasal lexical
entries and phrase boundaries.</p>
<p><small>Anne Abeillé</small>: <a href="http://www.llf.cnrs.fr/Gens/Abeille/French-Treebank-en.php">French Treebank</a></p>

<h3>German: NEGRA Corpus</h3>
<p>
Newspaper text from <i>Frankfurter Rundschau</i>, annotated with
phrase-structure-like dependencies and part-of-speech tagged (convertible
to Penn treebank format).  Also includes 60K tokens with morphological
analysis.
</p>
<p><small>U. Saarland: <a href="http://www.coli.uni-saarland.de/projects/sfb378/negra-corpus/negra-corpus.html">NEGRA Corpus</a></small></p>

<h3>German: Tiger Corpus</h3>
<p>Newspaper text from <i>Frankfurter Rundschau</i> semi-automatically
POS tagged and annotated for syntax.  Morphological and lemma
information on tokens.  900,000 tokens in 50,000 sentences.  Distributed
in NEGRA format or XML format.  Also 2000 sentences annotated for dependencies.</p>
<p><small>U. Stuttgart: <a href="http://www.ims.uni-stuttgart.de/projekte/TIGER/TIGERCorpus/">Tiger Corpus</a></small></p>


<h3>Hungarian: Szeged Treebank</h3>
<p>The Szeged corpus is 1.4M tokens of Hungarian in a range
of topics (including news, fiction, law and student writing) annotated for
part-of-speech, morphology, shallow syntax and semantics.
</p>
<p><small>Szeged HLT: <a href="http://www.inf.u-szeged.hu/projectdirs/hlt/index_en.html">Szeged Treebank</a></small></p>

<h3>Italian: Venice Italian Treebank</h3>
<p>The VIT contains 272K tokens in six general domains, plus spoken
language.  There were 102 POS tags and 29 constituent tags in the
fine analysis, 10 constituents and 22 POS tags in a coarse.  Marked up
like the Penn treebank in plain text.</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=831">Venice Italian Treebank</a></small></p>


<h3>Italian: Syntactic-Semantic Treebank</h3>
<p>90K tokens financial news, 215K tokens general.  Annotates
both constituent/phrasal and grammatical relations, as well as sense tagging
heads (vs. ItalWordNet).</p>
<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=887">Italian Syntactic-Semantic Treebank</a></small></p>


<h3>Korean: Treebank Annotations 2.0</h3>
<p>Morphological and syntactic analysis of Korean newswire, using
647 articles from 2000.</p>





<h2>Coreference Annotated</h2>

<h3>French: Modern French including Anaphors</h3>

<p>1M words of books, scientific articles, newspapers and booklets.
Anaphoric pronouns of all forms are marked.  Delivered in XML with
section, paragraph and sentence marking.  </p>

<p><small>ELRA: <a href="http://catalog.elra.info/product_info.php?products_id=634">Modern French including Anaphors</a></small></p>


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